Master of Science in Business Analytics Electives
All courses are 4 credits, unless otherwise indicated.
If you are interested in taking a course that is not listed below, please consult with your Director of Graduate Study or Academic Adviser to determine whether or not the course can be approved toward your degree.
Master of Science in Business Analytics Electives Heading link
Analytics | Business |
---|---|
IDS 435: Optimization Methods and Applications | ACTG 516: Financial Statement Analysis |
IDS 476: Business Forecasting using Time Series Methods | ECON 538: Business Research and Forecasting II |
IDS 561: Analytics for ‘Big’ Data | FIN 516: Theory and Structure of Options and Futures Markets |
IDS 564: Social Media and Network Analysis | FIN 510: Investments |
IDS 566: Advanced Text Analytics (2 credit hours) | IDS 518 / MKTG 518: Electronic Marketing |
IDS 567: Business Data Visualization (2 credit hours) | IDS 523: Audit Analytics |
IDS 576: Deep Learning and Modern Applications | IDS 540 / MKTG 562: Marketing Analytics |
IDS 594: Special Topics in IDS (1 – 4 credit hours) | IDS 551: Operations Management in the Service Sector |
IDS 594: Analytics applications with SAS (2 credit hours) | IDS 552: Supply Chain Management |
IDS 594: Analytics applications with R (2 credit hours) | IDS 558: Revenue Management |
IDS 594: Machine Learning Applications with Python (2 credit hours) | IDS 506: Health Information Management and Analytics |
IDS 594: Managing Machine Learning Lifecycle and Deployment (ML Ops) (2 credit hours | MKTG 561: Consumer Behavior |